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Professional Certificate in

Life Science Analytics

With our Life Science Analytics course, you will emerge as a professional ready to grab innumerable opportunities in the current Industry that is focusing heavily to leverage on Data.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Classroom & Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
HR Analytics course - 360digitmg
455 Reviews
HR Analytics course reviews - 360digitmg
2024 Learners
Academic Partners & International Accreditations
  • Life Science Analytics with Microsoft
  • Life Science Analytics certification with NASSCOM certificate
  • Life Science Analytics with INNODATATICS certificate
  • Life Science Analytics with TUV
  • Life Science Analytics with SUNY
  • Life Science Analytics with NEF

The Life Science Analytics market size is predicted to reach USD 42.0 billion by 2025 from USD 22.1 billion in 2020 globally. Life Science Analysts are looking toward Big Data to adopt analytics for improving clinical trials and data standardization and for improved patient outcomes.

Life Science Analytics

Program Cost

INR 12,000/-

Overview of Life Science Analytics Course

Life Science Analytics uses various predictive and analytic tools to process Clinical Data Analysis, Genomic Sequencing, Pharmaceutical Trial Analysis, Patient Diagnosis Analysis, Disease Tracking and Modeling, Patient Treatment Personalization, Optimizing Analysis of Medical Documents etc.. for improved patient care. Huge databases are created based on past reports of patients that help in predicting the future trends of treatment for doctors as well as pharmaceutical companies.
Life Sciences is a vital part of future medication. Evidence-based medication is growing and it can help in the development of new drugs for medication. Analytics in the life science domain heightens the probability of better treatment and medication.

Life Science Analytics Course Training Learning Outcomes

Life Science Analytics has become a game-changer in the health industry. The Certification Program in Life Science Analytics Course is a sui generis attempt to blend analytics solutions for better medical treatment and the development of new drugs. Specifically designed to suit the Life Science professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to Life Science industry data. Our Life Science Analytics course is meant for professionals from the finance domain as it provides a comprehensive picture of how data science and artificial intelligence can be leveraged to increase the efficiency of drugs and clinical trials. Understanding the applications of Data Science, Machine Learning to Life Sciences will be the prime objective of this content-rich program. Having a deep appreciation for Life Science Analytics is imperative for the success of various clinical trials and drug development.

Work with various information sources
Analyse structured and unstructured data using different tools and techniques
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for Pharmaceutical Analysis and Patient Diagnosis prediction
Understanding how surveys work and perform analytics on them
Use ML techniques to create a personalized experience for employees
Use data visualisation concepts to represent data for easy understanding
Block Your Time
hr analytics course - 360digitmg

16 hours

Classroom Sessions

hr analytics course - 360digitmg

20 hours

Python
Programming Videos

Who Should Sign Up?
  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data Engineers
  • Math, Science Graduates
  • Graduates Planning to Apply for Railway Jobs

Life Science Analytics Course Modules

The digital world is built on the walls of data and Life Sciences Analytics course is peering into the future. Put simply, Life Sciences Analytics is bringing in all the data and combining it to provide strategic as well as predictive insights that can be used to improve one’s business strategy. In this module on Life Sciences Analytics course, you will learn about the various systems and models of Life Sciences Analytics course and how Machine Learning is helping to improve life science research and improve patient care. You will learn about the various techniques used during the research and analyzing biological data. This module also throws light on the performance a life science project and can also be used in predicting patient disease diagnosis. You will also learn how Deep Learning is mining the genetic data, which is becoming pivotal in recognizing the heridetary diseases. Along with the various advanced Life Sciences Analytics techniques, you will also learn regarding Data Privacy and Security.

  • Challenges in Life Sciences Analytics
  • Life Sciences Analytics Market
  • Life Sciences Analytics and Genetic Data
  • Applications and Usecases
  • Stages of Life Sciences Analytics
  • Data Mining in Life Sciences Analytics
  • EDA in Life Sciences Analytics
  • Data Preprocessing in Life Sciences Analytics
  • Data Mining in Genomics and Proteomics
  • Feature Selection for a Genomic and Proteomic Studies
  • K-means Clustering in Life Sciences Analytics
  • K-means Clustering in Species Classification
  • K-Nearest Neighbours in Life Sciences Analytics
  • K-Nearest Neighbours in Genetic Algorithm
  • Decision Tree Model in Life Sciences Analytics
  • Decision Tree in Drug Classification
  • Logistic Regression Model in Life Sciences Analytics
  • Logistic Regression in Disease Tracking and Modeling
  • Multi-Layer Perceptron Model in Life Sciences Analytics
  • Multi-Layer Perceptron in Patient Diagnosis and Disease Prediction Analysis

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How we prepare you
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    Job Placements in Life Science Analytics Fields
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    Complimentary Courses
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    Hands-on Experience in Live Projects
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